Patrick Godau

731 total citations
3 papers, 15 citations indexed

About

Patrick Godau is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Health Information Management. According to data from OpenAlex, Patrick Godau has authored 3 papers receiving a total of 15 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Oncology and 1 paper in Health Information Management. Recurrent topics in Patrick Godau's work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Patrick Godau is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Patrick Godau collaborates with scholars based in Germany, Italy and Argentina. Patrick Godau's co-authors include Jörg Albert, Minu D. Tizabi, Peter Sauer, Lena Maier‐Hein, Thomas Adler, Annika Reinke, Evangelia Christodoulou, Piotr Kalinowski, Tobias Roß and Beat P. Müller‐Stich and has published in prestigious journals such as Medical Image Analysis and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Patrick Godau

3 papers receiving 15 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick Godau Germany 2 9 6 3 3 3 3 15
Maximilian Zenk Germany 3 11 1.2× 5 0.8× 5 1.7× 2 0.7× 5 17
Carla Pitarch Spain 2 10 1.1× 5 0.8× 5 1.7× 3 1.0× 4 14
Florian Kofler United Kingdom 4 8 0.9× 4 0.7× 2 0.7× 3 1.0× 5 26
Brennan Nichyporuk Canada 3 6 0.7× 7 1.2× 1 0.3× 5 1.7× 2 0.7× 5 30
Manuela Costantino Canada 3 4 0.4× 5 0.8× 3 1.0× 3 1.0× 4 22
Duc Duy Pham Germany 3 7 0.8× 5 0.8× 1 0.3× 1 0.3× 2 0.7× 4 13
Keenan Moore United States 2 11 1.2× 7 1.2× 1 0.3× 1 0.3× 2 0.7× 4 16
Y. W. Chang Taiwan 3 6 0.7× 5 0.8× 1 0.3× 2 0.7× 5 13
James Anibal United States 3 11 1.2× 2 0.3× 2 0.7× 4 1.3× 8 18
L. Brito Chile 1 7 0.8× 2 0.3× 2 0.7× 4 1.3× 2 21

Countries citing papers authored by Patrick Godau

Since Specialization
Citations

This map shows the geographic impact of Patrick Godau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick Godau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Godau more than expected).

Fields of papers citing papers by Patrick Godau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Godau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick Godau. The network helps show where Patrick Godau may publish in the future.

Co-authorship network of co-authors of Patrick Godau

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Godau. A scholar is included among the top collaborators of Patrick Godau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick Godau. Patrick Godau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Godau, Patrick, Piotr Kalinowski, Evangelia Christodoulou, et al.. (2025). Navigating prevalence shifts in image analysis algorithm deployment. Medical Image Analysis. 102. 103504–103504. 1 indexed citations
2.
Adler, Thomas, Evangelia Christodoulou, Patrick Godau, et al.. (2023). Sources of performance variability in deep learning-based polyp detection. International Journal of Computer Assisted Radiology and Surgery. 18(7). 1311–1322. 7 indexed citations
3.
Roß, Tobias, Annika Reinke, Manuel Wiesenfarth, et al.. (2023). Beyond rankings: Learning (more) from algorithm validation. Medical Image Analysis. 86. 102765–102765. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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